naoufal (naoufalhatim)

naoufalhatim

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Location:France

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naoufal's repositories

models

A collection of pre-trained, state-of-the-art models in the ONNX format

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TeamTat

Text annotation tool for team collaboration

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linkedin_scraper

A library that scrapes Linkedin for user data

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Multi_Text_Classification

Multi Text Classificaiton

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Depression-Assistant

In this project, I extend the implementation of a Tweet/Sentence Sentiment Classification to a "Depression Assistant Chatbot". This software asks the users how they are feeling and if what they write expresses sadness of anger then they are greeted with jokes until they feel better.

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Tweet-Sentiment-Classification

In this project i read a large Tweet dataset and clean each tweet then use Stemming and using bag of words model, feed each tweet to single layer neural network for classification.

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Meetup-Resources

All files, presentations and documents used in workshops, meetups and seminars

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adjuvanted-vaccine

Mathematical model of adjuvanted vaccine dynamics

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

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nlp_course

YSDA course in Natural Language Processing

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ProbLog

Mirror of ProbLog2 from the DTAI group of KULeuven (I am not the owner, please send PRs to https://bitbucket.org/problog/problog)

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tensorrec

A TensorFlow recommendation algorithm and framework in Python.

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feels

Master of None sentiment analysis and visualizations

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pystatsml

Statistics and Machine Learning in Python

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Music-Recommendations

Yahoo Music Recommendation system based on several user ratings for albums and provide song recommendations to the users.

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awesome-text-classification

Text classification meets word embeddings.

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comm

project

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HEAD

Full software stack for the Hanson Robotics robots

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political-persuasion-reddit

Using NLP and sentiment analysis to identify political inclinations (left, right, center, alt) from a corpus of Reddit posts

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Sentiment_Analysis_of_french_text

Sentiment analysis of ftragedy dataset using tidytext and FEE Lexicon

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